ghost_ai
  • ghost agent
  • Why Ghost AI?
  • How it works
  • Technical Implementation
  • Workflow Architecture
  • Use Cases
  • Next Steps & Development Roadmap
  • Value added
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Why Ghost AI?

Problems in Web3 Today

1️⃣ Proving an Action Without Revealing the User’s Identity

  • Problem: Public blockchains expose transaction data, linking actions directly to users.

  • Example: A DAO voter wants to prove they voted in a proposal but does not want to reveal their wallet address.

  • Ghost AI Solution: Generates a Zero-Knowledge Proof (ZKP) that confirms the vote happened without exposing the voter’s identity.

2️⃣ Proving an Action That Happened Off-Chain

  • Problem: Some Web3 activities (e.g., learning, reviews, proof of meeting attendance) do not exist on the blockchain and cannot be easily verified.

  • Example: A user completes a Web3 education course and wants proof for a DAO membership requirement.

  • Ghost AI Solution: AI processes user-submitted data and generates an attestation proof that can be verified later.

3️⃣ Making Proofs More Human-Readable & Context-Aware

  • Problem: Transaction hashes and raw blockchain data are not user-friendly and lack readable explanations.

  • Example: A DAO wants proof that a wallet voted in a proposal but needs an easy-to-understand verification.

  • Ghost AI Solution: AI converts technical blockchain proofs into natural language summaries, allowing DAOs and users to verify actions easily.

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Last updated 2 months ago